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Conference 11953 > Paper 11953-46
Paper 11953-46

Simultaneous measurement of strain and temperature using fiber Bragg grating with machine learning approach

Abstract

In this paper, we report a simultaneous measurement of strain and temperature applied to the FBG by using a machine learning approach. The WSL has a one-to-one correspondence between the spectral domain and the temporal domain. By measuring the signal in the temporal domain instead of the spectral domain, it is easy to collect rapidly changing data. Based on the collected data set, a machine learning technique was used to distinguish the temperature and strain applied to the FBG.

Presenter

Chungnam National Univ. (Kosovo, Republic of)
Presenter/Author
Chungnam National Univ. (Kosovo, Republic of)
Author
Ji Su Kim
Chungnam National Univ. (Korea, Republic of)
Author
Chungnam National Univ. (Korea, Republic of)
Author
Chungnam National Univ. (Korea, Republic of)